摘要:
Methods, systems, and computer program products are provided for the online convex optimization problem, in which the decision maker has knowledge of the all past states and resulting cost functions for his previous choices and attempts to make a new choice that results in minimum regret. The method does not rely upon the structure of the cost function or the characterization of the states and takes advantage of the similarity between successive states to enable the method to converge to a reasonably optimal result.
摘要:
Methods, systems, and computer program products are provided for the online convex optimization problem, in which the decision maker has knowledge of the all past states and resulting cost functions for his previous choices and attempts to make a new choice that results in minimum regret. The method does not rely upon the structure of the cost function or the characterization of the states and takes advantage of the similarity between successive states to enable the method to converge to a reasonably optimal result.
摘要:
According to one embodiment of the present invention, a method for online convex optimization is provided. The method includes performing a step that relies on the selection of x at a time t (xt), where x is a variable involved with the step. A resulting cost (ƒt(xt)) is calculated that results from selecting xt when performing the step, where ƒt is a cost function. A minimum possible cost (ƒt(x*t)) associated with the selection of x* is then found and the difference between the resulting cost (ƒt(xt)) and the minimum possible cost (ƒt(x*t)) is determined. A direction of movement from xt to xt+1 is selected and a subsequent step that relies on the section of xt+1 is then performed.
摘要:
According to one embodiment of the present invention, a method for online convex optimization is provided. The method includes performing a step that relies on the selection of x at a time t (xt), where x is a variable involved with the step. A resulting cost (ƒt(xt)) is calculated that results from selecting xt when performing the step, where ƒt is a cost function. A minimum possible cost (ƒt(x*t)) associated with the selection of x* is then found and the difference between the resulting cost (ƒt(xt)) and the minimum possible cost (ƒt(x*t)) is determined. A direction of movement from xt to xt+1 is selected and a subsequent step that relies on the section of xt+1 is then performed.
摘要:
Methods, systems, and computer program products are provided for the online convex optimization problem, in which the decision maker has knowledge of the all past states and resulting cost functions for his previous choices and attempts to make a new choice that results in minimum regret. The method does not rely upon the structure of the cost function or the characterization of the states and takes advantage of the similarity between successive states to enable the method to converge to a reasonably optimal result.
摘要:
Methods, systems, and computer program products are provided for the online convex optimization problem, in which the decision maker has knowledge of the all past states and resulting cost functions for his previous choices and attempts to make a new choice that results in minimum regret. The method does not rely upon the structure of the cost function or the characterization of the states and takes advantage of the similarity between successive states to enable the method to converge to a reasonably optimal result.
摘要:
A method and apparatus for selecting a subset of proposals from a set of proposals submitted via a web site, including defining proposal attributes for the selecting, formulating selection requirements for the subset, establishing metrics for comparing proposals according to the proposal attributes and the selection requirements, evaluating each of the set of proposals according the established metrics, distributing the results of evaluating each of the set of proposals to the submitter of each proposal, formulating an optimization problem for determining the subset of proposals, determining the subset of proposals by solving the optimization problem, and accepting feedback about the determining including changing the optimization problem based on the feedback.
摘要:
A service that handles incoming telephone calls without bothering the telephone subscriber is disclosed. The service permits a call to go through to a subscriber if the service determines that the call is not unwanted and the caller has been unauthenticated. The authentication is based on challenging the caller to prove its identity rather than relying on caller ID displays. Prospective callers pre-register with the service providing caller account information. When a caller is issued a challenge, the caller may prove its authenticity by supplying the challenge back to the service along with its registered information.
摘要:
A method for creating and maintaining threads of communications comprises accepting an electronic-communication call from a caller, determining if the caller is a new or previous caller by determining if a prior-caller user identification is contained within a call-receiving system, responsive to determining that the caller is a new caller assigning a new-caller user identification to the new caller and assigning a unique thread identification for communications related to a new issue, and responsive to determining that the caller is a known previous caller verifying a known-caller user identification and determining whether the known previous caller is calling about a new issue. Responsive to determining that the known previous caller is calling about a new issue, the method further includes assigning a unique thread identification to the new issue. Responsive to determining that the known previous caller is calling about an existing issue, the method further includes obtaining a list of previous thread identifications.
摘要:
Exemplary embodiments of the present invention relate to enhanced faceted search support for OLAP queries over unstructured text as well as structured dimensions by the dynamic and automatic discovery of dimensions that are determined to be most “interesting” to a user based upon the data. Within the exemplary embodiments “interestingness” is defined as how surprising a summary along some dimensions is from a user's expectation. Further, multi-attribute facets are determined and a user is optionally permitted to specify the distribution of values that she expects, and/or the distance metric by which actual and expected distributions are to be compared.